| Title |
Non-driver mutations in myeloproliferative neoplasm-associated myelofibrosis
|
|---|---|
| Published in |
Journal of Hematology & Oncology, May 2017
|
| DOI | 10.1186/s13045-017-0472-5 |
| Pubmed ID | |
| Authors |
Bing Li, Robert Peter Gale, Zefeng Xu, Tiejun Qin, Zhen Song, Peihong Zhang, Jie Bai, Lei Zhang, Yue Zhang, Jinqin Liu, Gang Huang, Zhijian Xiao |
| Abstract |
We studied non-driver mutations in 62 subjects with myeloproliferative neoplasm (MPN)-associated myelofibrosis upon diagnosis, including 45 subjects with primary myelofibrosis (PMF) and 17 with post-polycythemia vera or post-essential thrombocythemia myelofibrosis (post-PV/ET MF). Fifty-eight subjects had ≥1 non-driver mutation upon diagnosis. Mutations in mRNA splicing genes, especially in U2AF1, were significantly more frequent in PMF than in post-PV/ET MF (33 vs. 6%; P = 0.015). There were also striking differences in clonal architecture. These data indicate different genomic spectrums between PMF and post-PV/ET MF. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 18% |
| Researcher | 3 | 14% |
| Other | 2 | 9% |
| Professor | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 32% |
| Biochemistry, Genetics and Molecular Biology | 4 | 18% |
| Immunology and Microbiology | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Neuroscience | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 May 2017.
All research outputs
#18,546,002
of 22,968,808 outputs
Outputs from Journal of Hematology & Oncology
#928
of 1,196 outputs
Outputs of similar age
#236,542
of 310,760 outputs
Outputs of similar age from Journal of Hematology & Oncology
#29
of 40 outputs
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We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.